Codex 2ea14bd465 docs(model): training results addendum for LoRA sentiment + emotion ...

- FinBERT: 5 epochs, early stop at ~4.8, 6.2MB, F1=0.907, acc=0.955
- DistilRoBERTa: 5 epochs, early stop at ~4.8, 8.1MB, F1=0.594, acc=0.865
- Both with early stopping (patience=3)
- Known issues documented for next iteration

2026-09-26 19:59:56 +02:00

sentiment_engine

docs(model): training results addendum for LoRA sentiment + emotion

2026-09-26 19:59:56 +02:00

Description

Sentiment analysis engine with ONNX FinBERT + LoRA adapters

7.8 MiB

Languages

Python 99.9%

Dockerfile 0.1%